Search Results - "Setiyono, Tri"

Precise Positioning in Nitrogen Fertility Sensing in Maize ( Zea mays L.) by Setiyono, Tri

“…This study documented the contribution of precise positioning involving a global navigation satellite system (GNSS) and a real-time kinematic (RTK) system in…”
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Spatial Rice Yield Estimation Based on MODIS and Sentinel-1 SAR Data and ORYZA Crop Growth Model by Setiyono, Tri, Quicho, Emma, Gatti, Luca, Campos-Taberner, Manuel, Busetto, Lorenzo, Collivignarelli, Francesco, García-Haro, Francisco, Boschetti, Mirco, Khan, Nasreen, Holecz, Francesco

“…Crop insurance is a viable solution to reduce the vulnerability of smallholder farmers to risks from pest and disease outbreaks, extreme weather events, and…”
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Soybean Phenology Simulation in the North-Central United States by Torrion, Jessica, Setiyono, Tri Deri, Cassman, Kenneth, Specht, James

“…Forecast simulation of soybean [Glycine max (L.) Merr.] vegetative stem node (Vn) and reproductive (Rn) phases can be used to improve timing of agronomic…”
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Soybean Irrigation Management: Agronomic Impacts of Deferred, Deficit, and Full‐Season Strategies by Torrion, Jessica A., Setiyono, Tri D., Graef, George L., Cassman, Kenneth G., Irmak, Suat, Specht, James E.

“…ABSTRACT The efficiency of irrigation water use is improved if irrigations are scheduled only when soil water depletion exceeds a chosen crop‐specific…”
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Soybean Root Development Relative to Vegetative and Reproductive Phenology by Torrion, Jessica A., Setiyono, Tri D., Cassman, Kenneth G., Ferguson, Richard B., Irmak, Suat, Specht, James E.

“…Knowledge of soybean [Glycine max (L.) Merr.] primary, secondary, and tertiary root tip locations in the soil vs. seasonal time would enhance modeling of…”
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Trans-Disciplinary Responses to Climate Change: Lessons from Rice-Based Systems in Asia by Jon Hellin, Jean Balié, Eleanor Fisher, Ajay Kohli, Melanie Connor, Sudhir Yadav, Virender Kumar, Timothy J. Krupnik, Bjoern Ole Sander, Joshua Cobb, Katherine Nelson, Tri Setiyono, Ranjitha Puskur, Pauline Chivenge, Martin Gummert

“…Climate change will continue to have a largely detrimental impact on the agricultural sector worldwide because of predicted rising temperatures, variable…”
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Novel Sources of Pre-Harvest Sprouting Resistance for Japonica Rice Improvement by Lee, Jae-Sung, Chebotarov, Dmytro, McNally, Kenneth L, Pede, Valerien, Setiyono, Tri Deri, Raquid, Rency, Hyun, Woong-Jo, Jeung, Ji-Ung, Kohli, Ajay, Mo, Youngjun

“…Pre-harvest sprouting (PHS), induced by unexpected weather events, such as typhoons, at the late seed maturity stage, is becoming a serious threat to rice…”
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Integrated sensing and machine learning: Predicting saccharine and bioenergy feedstocks in sugarcane by Barbosa Júnior, Marcelo Rodrigues, Moreira, Bruno Rafael de Almeida, Duron, Dulis, Setiyono, Tri, Shiratsuchi, Luciano Shozo, Silva, Rouverson Pereira da

“…Predicting saccharine and bioenergy feedstocks in sugarcane enables growers and industries to determine the precise time and location for harvesting a…”
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Precision agriculture in the United States: A comprehensive meta-review inspiring further research, innovation, and adoption by Barbosa Júnior, Marcelo Rodrigues, Moreira, Bruno Rafael de Almeida, Carreira, Vinicius dos Santos, Brito Filho, Armando Lopes de, Trentin, Carolina, Souza, Flávia Luize Pereira de, Tedesco, Danilo, Setiyono, Tri, Flores, Joao Paulo, Ampatzidis, Yiannis, Silva, Rouverson Pereira da, Shiratsuchi, Luciano Shozo

“…Precision agriculture has emerged as a dominant force in the United States, with widespread adoption of advanced technologies and decision support systems…”
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Towards an Operational SAR-Based Rice Monitoring System in Asia: Examples from 13 Demonstration Sites across Asia in the RIICE Project by Nelson, Andrew, Setiyono, Tri, Rala, Arnel B, Quicho, Emma D, Raviz, Jeny V, Abonete, Prosperidad J, Maunahan, Aileen A, Garcia, Cornelia A, Bhatti, Hannah Zarah M, Villano, Lorena S

“…Rice is the most important food security crop in Asia. Information on its seasonal extent forms part of the national accounting of many Asian countries…”
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State of ex situ conservation of landrace groups of 25 major crops by Ramirez-Villegas, Julian, Khoury, Colin K., Achicanoy, Harold A., Diaz, Maria Victoria, Mendez, Andres C., Sosa, Chrystian C., Kehel, Zakaria, Guarino, Luigi, Abberton, Michael, Aunario, Jorrel, Awar, Bashir Al, Alarcon, Juan Carlos, Amri, Ahmed, Anglin, Noelle L., Azevedo, Vania, Aziz, Khadija, Capilit, Grace Lee, Chavez, Oswaldo, Chebotarov, Dmytro, Costich, Denise E., Debouck, Daniel G., Ellis, David, Falalou, Hamidou, Fiu, Albert, Ghanem, Michel Edmond, Giovannini, Peter, Goungoulou, Alphonse J., Gueye, Badara, Hobyb, Amal Ibn El, Jamnadass, Ramni, Jones, Chris S., Kpeki, Bienvenu, Lee, Jae-Sung, McNally, Kenneth L., Muchugi, Alice, Ndjiondjop, Marie-Noelle, Oyatomi, Olaniyi, Payne, Thomas S., Ramachandran, Senthil, Rossel, Genoveva, Roux, Nicolas, Ruas, Max, Sansaloni, Carolina, Sardos, Julie, Setiyono, Tri Deri, Tchamba, Marimagne, van den Houwe, Ines, Velazquez, J. Alejandro, Venuprasad, Ramaiah, Wenzl, Peter, Yazbek, Mariana, Zavala, Cristian

“…Crop landraces have unique local agroecological and societal functions and offer important genetic resources for plant breeding. Recognition of the value of…”
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INTEGRATING TIME-SERIES SAR DATA AND ORYZA CROP GROWTH MODEL IN RICE AREA MAPPING AND YIELD ESTIMATION FOR CROP INSURANCES by Pazhanivelan, S., Ragunath, K. P., Sudarmanian, N. S., Kumaraperumal, R., Setiyono, T., Quicho, E. D.

“…Lowland rice in tropical and subtropical regions can be detected precisely and its crop growth can be tracked effectively through Synthetic Aperture Radar…”
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Rice Crop Monitoring and Yield Estimation Through Cosmo Skymed and TerraSAR-X: A SAR-Based Experience in India by Pazhanivelan, S., Kannan, P., Christy Nirmala Mary, P., Subramanian, E., Jeyaraman, S., Nelson, A., Setiyono, T., Holecz, F., Barbieri, M., Yadav, M.

“…Rice is the most important cereal crop governing food security in Asia. Reliable and regular information on the area under rice production is the basis of…”
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MMST-ViT: Climate Change-aware Crop Yield Prediction via Multi-Modal Spatial-Temporal Vision Transformer by Lin, Fudong, Crawford, Summer, Guillot, Kaleb, Zhang, Yihe, Chen, Yan, Yuan, Xu, Chen, Li, Williams, Shelby, Minvielle, Robert, Xiao, Xiangming, Gholson, Drew, Ashwell, Nicolas, Setiyono, Tri, Tubana, Brenda, Peng, Lu, Bayoumi, Magdy, Tzeng, Nian-Feng

“…ICCV 2023 Precise crop yield prediction provides valuable information for agricultural planning and decision-making processes. However, timely predicting crop…”
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Understanding and modeling soybean (Glycine max., L. Merr.): Growth and development under optimum conditions by Setiyono, Tri D

“…A new soybean model was developed by incorporating existing and new approaches. Data for model development were obtained from a long-term ecological…”
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Understanding and modeling soybean (Glycine max., L. Merr.): Growth and development under optimum conditions by Setiyono, Tri D

“…A new soybean model was developed by incorporating existing and new approaches. Data for model development were obtained from a long-term ecological…”
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Good Corporate Governance: Firm Performance and Ownership Causality Test by Gunarsih, Tri, Setiyono, Setiyono, Sayekti, Fran, Novak, Tamas

“…Ownership structure, among other things, is one mechanism in corporate governance. In this context, ownership has a monitoring function. Another corporate…”
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